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HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 2 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
LWA
2004
13 years 10 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
ICDM
2002
IEEE
114views Data Mining» more  ICDM 2002»
14 years 2 months ago
Online Algorithms for Mining Semi-structured Data Stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Ka...
DEEC
2005
IEEE
14 years 2 months ago
Using Semantic Information to Improve Transparent Query Caching for Dynamic Content Web Sites
In this paper, we study the use of semantic information to improve performance of transparent query caching for dynamic content web sites. We observe that in dynamic content web a...
Gokul Soundararajan, Cristiana Amza
CINQ
2004
Springer
157views Database» more  CINQ 2004»
14 years 24 days ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut